Abstract:Intelligent Transportation Systems are well known as the best way to improve operational efficiency and to solve traffic jams,real time and accurate forecast of traffic flow is one of the critical technologies of Intelligent Transportation Systems.In this paper,on the basis of analysis of common traffic flow predictive model,combined prediction of traffic flow based on Particle Swarm Optimization was given.The new method sufficiently considers the advantages of many algorithms,in the end,an empirical analys...